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Seismic Optimum Design of Steel Structures Using Gradient-Based and Genetic Algorithm Methods

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Abstract

Optimum design of structures under time-variable loadings is a difficult task. Time-dependent behavior of constraints and cost of gradients calculations could be mentioned when applying time history loadings in the optimization problems. To overcome these difficulties, the response spectra as a seismic demand are used instead of using time history acceleration in the structural modeling. In this paper, the P-Delta effects are considered in the finite-element modeling of the frames. Furthermore, many practical constraints are included in the optimization formulation according to the Iranian national building code (Standard N. 2800). The developed MATLAB-based computer program is utilized for optimization of the low, intermediate- and relatively high-rise braced and un-braced steel frames. The obtained results of sequential quadratic programing (SQP) method are compared with the results of genetic algorithm (GA) technique for guarantying the global optimal designs. Because of the inexpensive costs of SQP method in comparison with genetic algorithm technique, SQP method could be confidently applied for obtaining the global optimum designs of the steel frames.

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Authors and Affiliations

  1. Department of Civil Engineering, Malayer University, Malayer, Iran

    Jalal Akbari & Mohammad Sadegh Ayubirad

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  1. Jalal Akbari
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  2. Mohammad Sadegh Ayubirad
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Correspondence to Jalal Akbari.

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Akbari, J., Ayubirad, M.S. Seismic Optimum Design of Steel Structures Using Gradient-Based and Genetic Algorithm Methods. Int J Civ Eng 15, 135–148 (2017). https://doi.org/10.1007/s40999-016-0088-0

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  • DOI: https://doi.org/10.1007/s40999-016-0088-0

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